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          <div class="quiz-container">
            <div class="quiz-header">
              <h1>主从架构实现原理 - 交互式测验</h1>
              <p>检验你对文档内容的理解程度</p>
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  {
    "question": "在RocketMQ的多Master多Slave架构中，同步双写模式（SYNC_MASTER）与异步复制模式（ASYNC_MASTER）最主要的区别是什么？",
    "options": [
      "同步双写模式基于Raft协议，而异步复制模式不是。",
      "异步复制模式下，Master节点无需等待Slave节点确认即可向生产者返回成功响应，性能更高。",
      "同步双写模式不需要Slave节点，而异步复制模式必须配置Slave节点。",
      "异步复制模式可以保证数据零丢失，而同步双写模式可能会丢失数据。"
    ],
    "correctAnswerIndex": 1,
    "explanation": "同步复制（SYNC_MASTER）的核心在于，Master节点必须将消息成功复制到Slave节点并收到确认后，才会向生产者返回成功响应。这保证了数据的高可靠性（零丢失），但牺牲了性能。相反，异步复制（ASYNC_MASTER）在消息写入Master本地后就立即返回成功响应，然后异步地将消息复制到Slave，因此性能更高，但在Master宕机时可能存在少量数据丢失的风险。",
    "source": "文档中「同步复制与异步复制」部分",
    "hint": "思考一下，在这两种模式下，Master节点是在哪个步骤向生产者（Producer）返回“发送成功”响应的？"
  },
  {
    "question": "根据文档，哪种部署模式提供了基于Raft协议的自动故障转移能力，是核心业务生产环境的推荐选择之一？",
    "options": [
      "多Master模式",
      "Dledger模式",
      "多Master多Slave模式（同步双写）",
      "单Master模式"
    ],
    "correctAnswerIndex": 1,
    "explanation": "文档明确指出，Dledger模式是基于Raft协议实现的高可用模式，其核心特点是能够自动选举Leader（主节点）并支持自动故障转移。当主节点宕机时，集群无需人工干预即可在数秒内选举出新的主节点接管服务，这极大地提高了系统的可用性和运维效率，因此被推荐用于核心业务生产环境。",
    "source": "文档中「1.5 Dledger模式（推荐）」和「3.2 Dledger模式（自动故障转移）」部分",
    "hint": "文档中特别提到了一种模式引入了“Raft协议”来实现自动选举和故障转移。"
  },
  {
    "question": "在配置RocketMQ主从节点时，如何正确地将一个Slave节点关联到其对应的Master节点？",
    "options": [
      "为Master和Slave配置不同的brokerName，但brokerId都设置为0。",
      "为Master和Slave配置相同的brokerName，并将Master的brokerId设置为0，Slave的brokerId设置为大于0的整数。",
      "仅需在Slave节点的配置中通过masterAddress指向Master即可，brokerName和brokerId无需特殊设置。",
      "为Master和Slave配置相同的brokerName和相同的brokerId。"
    ],
    "correctAnswerIndex": 1,
    "explanation": "为了将主从节点组织成一个高可用组（Broker Group），它们必须共享相同的`brokerName`。同时，通过`brokerId`来区分角色：`brokerId=0`代表该节点是Master，而大于0的`brokerId`（如1, 2, ...）则代表该节点是Slave。这是RocketMQ识别主从关系的基础配置。",
    "source": "文档中「3. 主从节点关联配置」部分",
    "hint": "主从关系依赖于两个关键配置参数来标识“同属一个组”和“谁是主，谁是从”。"
  },
  {
    "question": "关于RocketMQ主从复制中索引文件（如ConsumeQueue和IndexFile）的同步机制，以下哪项描述是正确的？",
    "options": [
      "Master节点会将CommitLog和索引文件打包后，一并传输给Slave节点。",
      "Slave节点只从Master节点同步索引文件，因为这比同步完整的CommitLog更高效。",
      "Slave节点不直接从Master同步索引文件，而是通过重放同步过来的CommitLog数据在本地重建索引。",
      "索引文件由NameServer统一生成并分发给Master和Slave节点，以保证一致性。"
    ],
    "correctAnswerIndex": 2,
    "explanation": "RocketMQ的主从复制核心是同步CommitLog文件，即消息的物理存储文件。Slave节点在接收到CommitLog数据后，会通过其内部的ReputMessageService服务来解析这些数据，并根据解析结果在本地重新构建ConsumeQueue（逻辑消费队列）和IndexFile（索引文件）。这种设计简化了复制逻辑，保证了数据源的唯一性（CommitLog），从而确保了最终的一致性。",
    "source": "文档中「3.2 索引文件同步」部分",
    "hint": "文档提到，RocketMQ“不直接同步ConsumeQueue和IndexFile”，那么它们是如何在Slave上生成的呢？"
  },
  {
    "question": "在传统的“多Master多Slave”模式下（非Dledger模式），当Master节点发生故障导致写服务中断时，正确的恢复流程是什么？",
    "options": [
      "NameServer会自动侦测到故障，并将一个Slave节点提升为新的Master。",
      "系统会自动进行故障转移，从健康的Slave节点中选举一个新的Master。",
      "需要运维管理员手动介入，执行一系列操作将某个Slave节点提升为新的Master。",
      "生产者客户端会自动将写请求发送到Slave节点，Slave节点临时接管写入任务。"
    ],
    "correctAnswerIndex": 2,
    "explanation": "文档在“写故障转移”部分明确区分了传统模式和Dledger模式。在传统主从模式下，系统本身不具备自动进行写故障转移的能力。当Master宕机后，需要管理员手动操作，例如修改Slave的配置文件，将其角色提升为Master，然后重启服务。这个过程恢复时间较长，且操作复杂。",
    "source": "文档中「3.1 传统主从模式」部分",
    "hint": "与Dledger的“自动”特性相比，传统模式在处理Master宕机时的“写故障转移”有何不同？"
  },
  {
    "question": "根据文档，NameServer是如何判断一个Broker节点已经不可用的？",
    "options": [
      "NameServer每隔10秒主动向Broker发送探测请求，若连续3次失败则认为其不可用。",
      "如果NameServer在120秒内没有收到某个Broker发送的心跳信息，则会认为该Broker不可用。",
      "当消费者无法从Broker拉取消息时，会向NameServer报告，累计报告超过阈值后Broker被标记为不可用。",
      "Broker在关机前会主动向NameServer发送一个“下线”通知。"
    ],
    "correctAnswerIndex": 1,
    "explanation": "RocketMQ的故障检测依赖于心跳机制。Broker会定期（每30秒）向所有NameServer发送心跳包来证明自己“存活”。NameServer则会定期（每10秒）检查所有Broker的最新心跳时间，如果发现某个Broker的心跳时间戳距离现在已经超过了120秒，NameServer就会将其从路由信息中移除，认为它已经下线或不可用。",
    "source": "文档中「1.1 心跳检测」部分",
    "hint": "这是一个基于“超时”的被动检测机制，Broker负责主动汇报，NameServer负责检查汇报是否过期。"
  },
  {
    "question": "在何种场景下，部署“多Master模式”（即没有Slave节点）是合理的，并且这种模式存在什么主要风险？",
    "options": [
      "适用于核心金融业务，风险是性能较低。",
      "适用于开发测试环境，主要风险是单个Master宕机将导致服务完全不可用。",
      "适用于对数据一致性要求极高的场景，风险是配置复杂。",
      "适用于开发测试或对消息可靠性要求不高的场景，主要风险是单个Master宕机可能导致部分消息丢失。"
    ],
    "correctAnswerIndex": 3,
    "explanation": "多Master模式下，集群由多个Master节点组成，没有对应的Slave节点。这种架构通过扩展Master数量提升了整个集群的吞吐能力和可用性（一个Master宕机，其他Master仍可服务）。但是，由于没有数据副本，如果某个Master节点永久性宕机，存储在该节点上的消息将会丢失。因此，它适用于可以容忍一定消息丢失风险的场景，或者简单的开发测试环境。",
    "source": "文档中「1.2 多Master模式」部分",
    "hint": "思考一下，没有Slave节点意味着什么？当一个Master节点发生故障时，它上面的数据会怎样？"
  }
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        }

        function showFinalScore() {
            document.querySelector('.quiz-body').style.display = 'none';
            document.getElementById('quiz-footer').style.display = 'none';

            const correctCount = score;
            const totalQuestions = quizData.length;
            const answeredCount = userAnswers.filter(a => a !== null).length;
            const wrongCount = answeredCount - correctCount;
            const skippedCount = totalQuestions - answeredCount;
            const accuracy = totalQuestions > 0 ? Math.round((correctCount / totalQuestions) * 100) : 0;
            const errorRate = totalQuestions > 0 ? Math.round((wrongCount / totalQuestions) * 100) : 0;

            const finalScoreHtml =
                '<div class="final-score-container">' +
                '<h2>答题报告</h2>' +
                '<div class="score-summary">' +
                '<div class="score-card">' +
                '<h3>得分</h3>' +
                '<p>' + correctCount + ' / ' + totalQuestions + '</p>' +
                '</div>' +
                '<div class="score-card">' +
                '<h3>正确率</h3>' +
                '<p>' + accuracy + '%</p>' +
                '</div>' +
                '<div class="score-card">' +
                '<h3>错误率</h3>' +
                '<p>' + errorRate + '%</p>' +
                '</div>' +
                '<div class="score-card score-details">' +
                '<table>' +
                '<tr><td>正确</td><td>' + correctCount + '</td></tr>' +
                '<tr><td>错误</td><td>' + wrongCount + '</td></tr>' +
                '<tr><td>未答</td><td>' + skippedCount + '</td></tr>' +
                '</table>' +
                '</div>' +
                '</div>' +
                '<div class="report-actions">' +
                '<button id="review-btn">回顾测验</button>' +
                '<button class="primary" onclick="location.reload()">再试一次</button>' +
                '</div>' +
                '</div>';

            let reportEl = document.querySelector('.final-score-container');
            if (reportEl) {
                reportEl.remove();
            }
            quizContentEl.insertAdjacentHTML('beforeend', finalScoreHtml);
            document.getElementById('review-btn').addEventListener('click', reviewQuiz);
        }

        function reviewQuiz() {
            const reportEl = document.querySelector('.final-score-container');
            if (reportEl) {
                reportEl.remove();
            }

            document.querySelector('.quiz-body').style.display = 'block';
            document.getElementById('quiz-footer').style.display = 'flex';
            
            currentQuestionIndex = 0;
            loadQuestion();
            updateNavigationButtons(); // Ensure nav buttons are correctly displayed
        }

        // Event Delegation for options
        optionsListEl.addEventListener('click', (event) => {
            if (event.target && event.target.matches('li.option-item')) {
                // Check if the question has already been answered
                if (userAnswers[currentQuestionIndex] === null) {
                    const selectedIndex = parseInt(event.target.dataset.index, 10);
                    selectOption(selectedIndex);
                }
            }
        });

        prevBtn.addEventListener('click', goToPreviousQuestion);
        nextBtn.addEventListener('click', goToNextQuestion);
        hintBtn.addEventListener('click', showHint);
        
        // 初始加载
        loadQuestion();
      </script>
    </body>
    </html>
  